一个基因共同表达网络,用于全球发现保存的遗传模块
Joshua M Stuart1, Eran Segal, Daphne Koller
1Stanford Medical Informatics, 251 Campus Drive, Medical School Office Building X-215, Stanford, CA 94305-5329, USA.
概括
研究人员确定了跨物种保存的基因共同表达关系,表明了功能联系,并有助于理解基因功能和细胞循环和蛋白质表达等生物过程.
科学领域:
- 基因组学就是基因组学.
- 计算生物学 计算生物学
- 进化生物学 进化生物学
背景情况:
- 了解基因功能对于生物研究至关重要.
- 大规模的基因表达数据为推断功能关系提供了机会.
研究的目的:
- 识别和分析各种物种中保存的基因共同表达关系.
- 根据共同表达模式推断基因的功能作用,特别是新的基因.
主要方法:
- 分析了来自人类,,虫和酵母的3182个DNA微阵列.
- 在这些物种中保存的共同表达基因的鉴定对.
- 构建了一个基因共同表达网络.
主要成果:
- 发现了22,163种进化保守的共同表达关系.
- 这些保存的联系表明了功能相关性和选择性优势.
- 确定了新的基因参与核心生物功能 (细胞循环,分泌,蛋白质表达).
- 经过实验验证的预测,并将诸如细胞增殖之类的功能分配给几个基因.
- 基因共同表达网络揭示了动物特异性组件和古新模块相互关系.
结论:
- 保存的基因共同表达是功能性基因关系的强有力的指标.
- 这种方法有效地预测了基因功能和参与重要的生物过程.
- 基因联合表达网络提供了对基因调节和功能的进化模式的见解.
相关概念视频
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